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IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism

Overview of attention for article published in Journal of Big Data, November 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
56 Mendeley
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Title
IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism
Published in
Journal of Big Data, November 2021
DOI 10.1186/s40537-021-00544-5
Authors

FatimaEzzahra Laghrissi, Samira Douzi, Khadija Douzi, Badr Hssina

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 7%
Student > Postgraduate 3 5%
Student > Master 3 5%
Student > Ph. D. Student 3 5%
Lecturer 2 4%
Other 5 9%
Unknown 36 64%
Readers by discipline Count As %
Computer Science 15 27%
Business, Management and Accounting 2 4%
Engineering 2 4%
Agricultural and Biological Sciences 1 2%
Unknown 36 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2021.
All research outputs
#18,809,260
of 23,310,485 outputs
Outputs from Journal of Big Data
#269
of 351 outputs
Outputs of similar age
#365,073
of 510,270 outputs
Outputs of similar age from Journal of Big Data
#7
of 11 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 510,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.